Dash Tradingview Lightweight Charts Components is a Dash component library. This component wraps TradingView's Lightweight Charts, the popular financial charting library written in Javascript, and extends it for use in Python Dash webapp.

This package is available in PyPI:

pip install dash_tvlwc

An interactive demo hosted and available here. The source code of this live demo can be found at ./demo/app.py.

The demo hosting on pythonanywhere somehow suffers from very slow callbacks. Fixing this soon.

• 1-to-1 chart and series option capability as in original lightweight chart
• See ./example/options.py

• Modify data or styles on any triggers
• See ./example/interactivity.py

The source code of this minimal example can be found at ./demo/minimal_example.py.

1. Import dependencies

import dash
from dash import html
import dash_tvlwc

2. Make some random candlestick data and line plot data

candlestick_data = [
    {'close': 97.56, 'high': 101.29, 'low': 95.07, 'open': 100, 'time': '2021-01-01'},
    {'close': 96.06, 'high': 99.06, 'low': 95.17, 'open': 97.56, 'time': '2021-01-02'},
    {'close': 92.06, 'high': 98.39, 'low': 90.72, 'open': 96.06, 'time': '2021-01-03'},
    {'close': 95.74, 'high': 97.87, 'low': 89.75, 'open': 92.06, 'time': '2021-01-04'},
    {'close': 92.44, 'high': 97.5, 'low': 88.56, 'open': 95.74, 'time': '2021-01-05'},
    {'close': 89.31, 'high': 93.1, 'low': 85.20, 'open': 92.44, 'time': '2021-01-06'},
    {'close': 85.10, 'high': 93.08, 'low': 82.23, 'open': 89.31, 'time': '2021-01-07'},
    {'close': 81.87, 'high': 88.34, 'low': 77.97, 'open': 85.10, 'time': '2021-01-08'},
    {'close': 79.55, 'high': 82.44, 'low': 76.08, 'open': 81.87, 'time': '2021-01-09'},
    {'close': 82.74, 'high': 84.01, 'low': 78, 'open': 79.55, 'time': '2021-01-10'}
]

line_data = [
    {'time': '2021-01-01', 'value': 100.35},
    {'time': '2021-01-02', 'value': 97.09},
    {'time': '2021-01-03', 'value': 95.74},
    {'time': '2021-01-04', 'value': 98.72},
    {'time': '2021-01-05', 'value': 100.3},
    {'time': '2021-01-06', 'value': 95.8},
    {'time': '2021-01-07', 'value': 91.22},
    {'time': '2021-01-08', 'value': 94.26},
    {'time': '2021-01-09', 'value': 94.9},
    {'time': '2021-01-10', 'value': 94.85}
]

3. Initialize Dash app and add the Tvlwc component

app = dash.Dash(__name__)
app.layout = html.Div(children=[
    dash_tvlwc.Tvlwc(
        seriesData=[candlestick_data, line_data],
        seriesTypes=['candlestick', 'line'],
    ),
])

if __name__ == '__main__':
    app.run_server()

4. Run the app by python minimal_example.py. The app should be running on localhost:8050/. You should see the plot:

The Tradingview Lightweight Chart library is highly customizable in style. For the complete list of chart options and series options available, please refer to the official API documentation.

Configurable props

Read-only props

See CONTRIBUTING.md

1. Install Dash and its dependencies: https://dash.plotly.com/installation
2. Run demonstration script with python example/usage.py
3. Visit the demo Dash app at http://localhost:8050 in your web browser

If you have selected install_dependencies during the prompt, you can skip this part.

1. Install npm packages

   $ npm install
   

2. Create a virtual env and activate.

   $ virtualenv venv
   $ . venv/bin/activate
   

   Note: venv\Scripts\activate for windows

3. Install python packages required to build components.

   $ pip install -r requirements.txt
   

4. Install the python packages for testing (optional)

   $ pip install -r tests/requirements.txt